{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 共享单车数据集上的数据探索"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/day.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据总体信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   instant     731 non-null    int64  \n",
      " 1   dteday      731 non-null    object \n",
      " 2   season      731 non-null    int64  \n",
      " 3   yr          731 non-null    int64  \n",
      " 4   mnth        731 non-null    int64  \n",
      " 5   holiday     731 non-null    int64  \n",
      " 6   weekday     731 non-null    int64  \n",
      " 7   workingday  731 non-null    int64  \n",
      " 8   weathersit  731 non-null    int64  \n",
      " 9   temp        731 non-null    float64\n",
      " 10  atemp       731 non-null    float64\n",
      " 11  hum         731 non-null    float64\n",
      " 12  windspeed   731 non-null    float64\n",
      " 13  casual      731 non-null    int64  \n",
      " 14  registered  731 non-null    int64  \n",
      " 15  cnt         731 non-null    int64  \n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字段说明"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. instant记录号\n",
    "2. dteday：日期 （不作为输入特征X）\n",
    "3. season：季节（1=春天、2=夏天、3=秋天、4=冬天）\n",
    "4. yr：年份，(0: 2011, 1:2012)\n",
    "5. mnth：月份( 1 to 12)1\n",
    "6. holiday：是否是节假日\n",
    "7. weekday：星期中的哪天，取值为0～6\n",
    "8. workingday：是否工作日\n",
    "9. weathersit：天气（1：晴天，多云 ",
    "2：雾天，阴天 ",
    "3：小雪，小雨 ",
    "4：大雨，大雪，大雾）\n",
    "10. temp：气温摄氏度\n",
    "11. atemp：体感温度\n",
    "12. hum：湿度\n",
    "13. windspeed：风速\n",
    "14. casual：非注册用户个数 （不作为输入特征X）\n",
    "15. registered：注册用户个数 （不作为输入特征X）\n",
    "16. cnt：给定日期（天）时间（每小时）总租车人数，响应变量y （cnt = casual + registered）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据统计学信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 单个特征的分布"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 离散特征的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "#对类别型特征，观察其取值范围及柱状图\n",
    "categorical_features = ['season','mnth','weathersit','weekday']\n",
    "\n",
    "fig = plt.figure(figsize=(13,8))\n",
    "for i in range(4):\n",
    "    col = categorical_features[i]\n",
    "    ax = fig.add_subplot(221+i)\n",
    "    ax = sb.countplot(df[col], ax=ax)\n",
    "    \n",
    "    # 在柱状图上显示数值\n",
    "    series = df[col].value_counts()\n",
    "    series = series.sort_index()\n",
    "    for index,value in enumerate(series.values):\n",
    "        ax.text(index,value,f'{value}', fontsize=12, ha='center')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "for col in categorical_features:\n",
    "#     print('\\n%s属性的不同取值和出现的次数'%col)\n",
    "#     print(df[col].value_counts())\n",
    "    df[col] = df[col].astype('object') \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数值特征的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000002CB32A356D8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000002CB296DE198>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000002CB311D13C8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000002CB2984A908>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GPVbS9XoO+jc0yHErSRreqpOsJM8Cbq+qK5PM7Z7dp2j1+3xVbQW2AszOztbc3Fy/YlNtfn6eleIedrTxabBl0wJnXTNsPj79ul7P7SfPDVRukONWkjS8Yf6jPA14dpLjgf2Ah9I7s3Vgkn2bs1mHA7cOH6YkTVaS7cA3gLuBhaqaTXIQcB6wAdgOPL+q7pxUjJKmy6rvyaqqV1bV4VW1ATgJ+MeqOhm4FHhuU+wU4MKho5Sk6fD0qnpSVc0202cAlzQP+lzSTEsS0E4/Wa8AXp5kG717tM5uYRuSNA1OpPeAD/igj6QlRnIDSlXNA/PN+5uAp45ivZI0RQr4hyQF/K/mvtKZqtoJUFU7kzyi3wdX+6BPFx9S6FLMux906epDL12MexQxj/v4GuaY7u5dvpI0Xk+rqlubROriJJ8Z9IOrfdCniw8pdCnm3Q8mdfWhly7GPYqYB33IZ1SGOaa7tXdatGEVTwFu2bSwJp4elLSyqrq1+Xl7kvfQO2N/W5JDm7NYhwK3TzRISVPFsQslaQVJDkjykN3vgZ8FrgUuoveAD/igj6QlPJMlSSubAd7TG9SCfYG3V9UHk3wSOD/JacDNwPMmGKOkKWOSJUkraB7oeWKf+V8Fjh1/RJK6wMuFkiRJLTDJkiRJaoFJliRJUgtMsiRJklpgkiVJktQCkyxJkqQWmGRJkiS1wH6yJElSZ6xmGLxBbD/zhJGvc9VnspIckeTSJDckuS7Jy5r5ByW5OMnnmp8PG124kiRJ3TDM5cIFYEtVPQ44Bjg9ydHAGcAlVbURuKSZliRJWldWnWRV1c6q+lTz/hvADcBhwInAuU2xc4HnDBukJElS14zknqwkG4AnA5cDM1W1E3qJWJJHLPOZzcBmgJmZGebn50cRyqpt2bSw15+Z2X91n+sa69kNg/4N7dq1a+J/b5K0HgydZCV5MPC3wG9W1debUepXVFVbga0As7OzNTc3N2woQzl1FTfSbdm0wFnXrP1nB6xnN2w/eW6gcvPz80z6702S1oOhunBIcn96CdbbqurdzezbkhzaLD8UuH24ECVJkrpnmKcLA5wN3FBVr1+06CLglOb9KcCFqw9PkiSpm4a5NvI04EXANUmuaua9CjgTOD/JacDNwPOGC1GSJKl7Vp1kVdVHgeVuwDp2teuVJElaCxxWR5IkqQUmWZIkSS3o7vPqkqR1oa2x6qS2eSZLkiSpBZ07k+U3GkmS1AWeyZIkSWqBSZYkSVILTLIkSZJa0Ll7siT1N+j9ils2LezVgOjbzzxhtSFJ0rrmmSxJkqQWmGRJkiS1wCRLkiSpBSZZkiRJLWgtyUpyXJIbk2xLckZb25GkSbKtk7ScVp4uTLIP8CbgZ4AdwCeTXFRV17exPUmaBNu6e9twxvv2+ulVaS1r60zWU4FtVXVTVf0r8E7gxJa2JUmTYlsnaVmpqtGvNHkucFxV/Uoz/SLgx6vqJYvKbAY2N5NHATeOPJD2HQx8ZdJBjIH1XFvarOejq+qQltY9dQZp65r5q23vunhMGvP4dDHutRLzQG1dW52Rps+8e2VzVbUV2NrS9sciyRVVNTvpONpmPdeW9VLPMVmxrYPVt3dd3FfGPD5djHu9xdzW5cIdwBGLpg8Hbm1pW5I0KbZ1kpbVVpL1SWBjkiOTPAA4CbiopW1J0qTY1klaViuXC6tqIclLgL8H9gHeUlXXtbGtCev05c69YD3XlvVSz9aNoa3r4r4y5vHpYtzrKuZWbnyXJEla7+zxXZIkqQUmWZIkSS0wyRrASsNmJHl5kuuTXJ3kkiSPnkScwxp0eJAkz01SSTr1GO5ug9QzyfObfXpdkrePO8ZRGOC4fVSSS5N8ujl2j59EnOvdAPvpgUnOa5ZfnmTD+KO8ry62i11s47raXnWx/UnyliS3J7l2meVJ8qdNna5O8pQVV1pVvvbwoncz6+eBxwAPAP4ZOHpJmacDD2re/zpw3qTjbqOeTbmHAB8BLgNmJx13S/tzI/Bp4GHN9CMmHXdL9dwK/Hrz/mhg+6TjXm+vAffTfwb+onl/0jS0L11sF7vYxnW1vepq+wP8JPAU4Npllh8PfIBe/3jHAJevtE7PZK1sxWEzqurSqvpWM3kZvb5yumbQ4UF+H/hD4NvjDG6EBqnnrwJvqqo7Aarq9jHHOAqD1LOAhzbvfwD7d5qEQfbTicC5zfsLgGOT9OsEdZy62C52sY3ranvVyfanqj4C3LGHIicCb62ey4ADkxy6p3WaZK3sMOCWRdM7mnnLOY1epts1K9YzyZOBI6rqveMMbMQG2Z+PBR6b5GNJLkty3NiiG51B6vka4IVJdgDvB146ntC0yCD76ftlqmoB+Brw8LFEt7wutotdbOO62l6t1fZnb4/71obVWUsGGjYDIMkLgVngp1qNqB17rGeS+wFvAE4dV0AtGWR/7kvvFPwcvW/f/5TkCVV1V8uxjdIg9XwBcE5VnZXkJ4C/aer5vfbDU2OQ/TRwGzRGXWwXu9jGdbW9Wqvtz17/LXoma2UDDZuR5BnA7wDPrqrvjCm2UVqpng8BngDMJ9lO73r0RdNwY+heGmR/7gAurKrvVtUX6A3mu3FM8Y3KIPU8DTgfoKo+DuxHbyBUjc+gx+MRAEn2pXdpZU+XNMahi+1iF9u4rrZXa7X92fthtCZ9o9m0v+h9S7gJOJJ7buB7/JIyT6Z3k9/GScfbZj2XlJ+nmze+D7I/jwPObd4fTO/08MMnHXsL9fwAcGrz/nFNY5FJx76eXgPup9O5943v53ck7qlqF7vYxnW1vepy+wNsYPkb30/g3je+f2LF9U26Ql140Xui4LNNg/E7zbzfo/ftDOBDwG3AVc3roknH3EY9l5SdeAPU4v4M8HrgeuAa4KRJx9xSPY8GPtY0gFcBPzvpmNfja4D9tB/wLmAb8AngMZOOecC4p65d7GIb19X2qovtD/AOYCfwXXpnrU4Dfg34tUW/6zc1dbpmkOPDYXUkSZJa4D1ZkiRJLTDJkiRJaoFJliRJUgtMsiRJklpgkiVJktQCkyxJkqQWmGRJkiS1wCRLkiSpBSZZkiRJLTDJkiRJaoFJliRJUgtMsiRJ61KSXUkes8rPzif5lVHHtFpJTk3y0UnHoXszydJeSbI9yTMmHYckDauqHlxVN006Dq1dJlmSJEktMMnSwJL8DfAo4O+a0+y/neSYJP9/kruS/HOSuUXl55P892b5riR/l+ThSd6W5OtJPplkw6LyleQ3ktyU5CtJ/iiJx6ikvZLkxUn+btH0tiTnL5q+JcmTmjbnh5p55yR5U5L3JflGksuT/JtFn/mZJJ9J8rUkfwZk0bIfSvLhZtlXkpy3aNke27Ukv5zkhiR3Jvn7JI9etOyHk1yc5I4kNyZ5/qJlD09yUdOWfgL4fqyaHv4D08Cq6kXAzcDPV9WDgbcB7wP+O3AQ8P8Cf5vkkEUfOwl4EXAYvUbg48BfN+VvAF69ZDO/AMwCTwFOBH65rfpIWrM+DPz7JPdLcihwf+BpAM09WA8Gru7zuRcA/w14GLANeG3zmYOBvwV+FzgY+Pzu9TV+H/iH5nOHA/9zyXr7tmtJngO8CvhF4BDgn4B3NMsOAC4G3g48oontz5M8vlnnm4BvA4c267OtnEImWRrGC4H3V9X7q+p7VXUxcAVw/KIyf11Vn6+qrwEfAD5fVR+qqgXgXcCTl6zzdVV1R1XdDPwJvYZFkgbW3Gf1DeBJwE8Bfw98MckPN9P/VFXf6/PRd1fVJ5r26W3N56HXpl1fVRdU1XfptU1fWvS57wKPBh5ZVd+uqqU3oC/Xrv0n4A+q6oZmm/8DeFJzNutZwPaq+uuqWqiqT9FL9J6bZB/gPwD/taq+WVXXAueu8telFplkaRiPBp7XXCq8K8ldwL+j981qt9sWvf+XPtMPXrLOWxa9/z/AI0cYr6T148PAHPCTzft5egnWTzXT/SxOnL7FPe3TI1nUNlVVce+26rfpXT78RJLrkiw9q7Rcu/Zo4I2L2s87mvUc1iz78SXt68nAD9I767Vvn/Vqyuw76QDUObXo/S3A31TVr45w/UcA1zXvHwXcOsJ1S1o/Pgz8PHAkvTNEu5OUnwD+bC/XtZNe2wRAkiyerqovAb/aLPt3wIeSfKSqtjVFlmvXbgFeW1VvW7rB5mzWh6vqZ/os2wdYaNb7mUXr1ZTxTJb21m3A7n5l/jfw80l+Lsk+SfZLMpfk8CHW/1+SPCzJEcDLgPNW+oAk9fFh4OnA/lW1g979TscBDwc+vZfreh/w+CS/mGRf4DfonVECIMnzFrV7d9L7Mnr3os8v1679BfDK3fdZJfmBJM9rlr0XeGySFyW5f/P6sSSPq6q7gXcDr0nyoCRHA6fsZZ00BiZZ2lt/APxuc+r6P9K7ifNVwJfpfSv7Lwx3XF0IXAlcRa9hO3uoaCWtS1X1WWAXveSKqvo6cBPwsSZJ2Zt1fQV4HnAm8FVgI/CxRUV+DLg8yS7gIuBlVfWFRcv7tmtV9R7gdcA7k3wduBZ4ZrPsG8DP0nt46FZ6lzJfBzywWedL6F3O/BJwDr0HijRl0ru0LE1ekgI2LjrFLkmdZru2vnkmS5IkqQUmWZIEJDkiyaVNx5DXJXlZM/+gpkPIzzU/H9bMT5I/bTq6vDrJUyZbA0nTxiRLU6Oq4il1TdACsKWqHgccA5ze3FB8BnBJVW0ELmmmoXfvzMbmtRl48/hD1rSzXVvfTLIkCaiqnU2Hj7tvOr6BXn9FJ3JPR4/nAs9p3p8IvLV6LgMObHoXlyRgSvrJOvjgg2vDhg2TDmNo3/zmNznggAMmHUYrrFs3jbtuV1555Veq6pCVS063ZkzNJwOXAzNVtRN6iViSRzTFDuPenUHuaObt7LO+zfTOdrHffvv96KMe1b0ujb73ve9xv/t163t5F2OGbsbdxZhh9XF/9rOfHaitm4oka8OGDVxxxRWTDmNo8/PzzM3NTTqMVli3bhp33ZJ0vtfpJA+mN3zJb1bV13v9TvYv2mde38e1q2orsBXgqKOOqhtvvHEUoY5VF/9OuhgzdDPuLsYMq4970Laue2mnJLUkyf3pJVhvq6p3N7Nv230ZsPl5ezN/B4t6/aY3MLAjFEj6PpMsSeL7Q6WcDdxQVa9ftOgi7ulN+xR6HUvunv9LzVOGxwBf231ZUZJgSi4XStIUeBrwIuCaJFc1815Fr5fv85OcBtxMr+dvgPcDxwPb6A0m/OLxhitp2plkSRJQVR+l/31WAMf2KV/A6a0GJanTvFwoSZLUAs9kddSGM97Xynq3n3lCK+uVtPbZLkn3tmKSleQtwLOA26vqCc28g4DzgA3AduD5VXVnc+PoG+ndp/At4NTdnftJ6vEfkSStD4NcLjwHOG7JPIeZkCRJ2oMVk6yq+ghwx5LZDjMhSZK0B6u9J2voYSakadfWZT1J0vow6hvfBx5mYvFYXjMzM8zPz484lPHbtWvX2OqxZdNCK+tdLv5x1m3clqtbW7/jtvSrw1reb5I07VabZN2W5NDmLNaqhplYPJbX7OxsdXHMo6XGOXbTqW3dPH3yXN/5XR2XahDL1a2t33Fb+u27tbzfJGnarbafLIeZkCRJ2oNBunB4BzAHHJxkB/BqHGZCkiRpj1ZMsqrqBcsscpgJSZKkZTisjiRJUgtMsiRJklrg2IWSpKm22j7rtmxa2ONTwg5FpbZ5JkuSJKkFnsnSvSz3jXGlb4SDaOtb47A9s4+ibpIkLeWZLEmSpBaYZEmSJLXAJEuSJKkF3pPVsmHvF5IkSd3kmSxJkqQWmGRJkiS1wCRLkiSpBSZZkiRJLTDJkiRJaoFJliRJUgtMsiSpkeQtSW5Pcu2iea9J8sUkVzWv4xcte2WSbUluTPJzk4la0rQyyZKke5wDHNdn/huq6knN6/0ASY4GTgIe33zmz5PsM7ZIJU29oZKsJL+V5Lok1yZ5R5L9khyZ5PIkn0tyXpIHjCpYSWpTVX0EuGPA4icC76yq71TVF4BtwFNbC05S56w6yUpyGPAbwGxVPQHYh963utfR+9a3EbgTOG0UgUrSBL0kydXN5cSHNfMOA25ZVGZHM0+SgOGH1dkX2D/Jd4EHATuBnwb+n2b5ucBrgDcPuR1JmsamMkUAAA+jSURBVJQ3A78PVPPzLOCXgfQpW/1WkGQzsBngkEMOYX5+vpVA27Rr164V496yaWE8wQxoZv89xzSt+2GQ3/W06WLM0H7cq06yquqLSf4YuBn4F+AfgCuBu6pq91HtNztJnVZVt+1+n+Qvgfc2kzuAIxYVPRy4dZl1bAW2Ahx11FE1NzfXSqxtmp+fZ6W4T52ysVq3bFrgrGuW/ze3/eS58QWzFwb5XU+bLsYM7ce96iSrOWV+InAkcBfwLuCZfYqu+M1uZmamkxnwUv0y4mn7ZrdaK30jHMT/fNuFI4rm3rZsGu7zo6jbNOj3N9TVb5fTJMmhVbWzmfwFYPeThxcBb0/yeuCRwEbgExMIUdKUGuZy4TOAL1TVlwGSvBv4t8CBSfZtzmYN9M1udna2k9/sluqXEU/bN7vVWukbYZetlbr1+1be1W+Xk5LkHcAccHCSHcCrgbkkT6L3hXE78J8Aquq6JOcD1wMLwOlVdfck4pY0nYb5z3IzcEySB9G7XHgscAVwKfBc4J3AKUA7py8kacSq6gV9Zp+9h/KvBV7bXkSSumzVTxdW1eXABcCngGuadW0FXgG8PMk24OHsoYGSJElaq4a6RlJVr6Z3On2xm7CvGEmStM7Z47skSVILTLIkSZJaYJIlSZLUApMsSZKkFphkSZIktcAkS5IkqQUmWZIkSS0wyZIkSWqBSZYkSVILTLIkSZJaYJIlSZLUgqHGLpQkqas2nPG+Vta7/cwTWlmvusczWZIkSS0wyZIkSWqBSZYkSVILTLIkSZJaYJIlSZLUgqGSrCQHJrkgyWeS3JDkJ5IclOTiJJ9rfj5sVMFKkiR1xbBnst4IfLCqfhh4InADcAZwSVVtBC5ppiVJktaVVSdZSR4K/CRwNkBV/WtV3QWcCJzbFDsXeM6wQUqSJHXNMGeyHgN8GfjrJJ9O8ldJDgBmqmonQPPzESOIU5IkqVOG6fF9X+ApwEur6vIkb2QvLg0m2QxsBpiZmWF+fn6IUKbDrl277lOPLZsWJhPMiM3sv3bqstRaqVu/v6F+x6QkaTyGSbJ2ADuq6vJm+gJ6SdZtSQ6tqp1JDgVu7/fhqtoKbAWYnZ2tubm5IUKZDvPz8yytx6ktDdswbls2LXDWNWtzFKa1UrftJ8/dZ16/Y1KSNB6rvlxYVV8CbklyVDPrWOB64CLglGbeKcCFQ0UoSZLUQcN+fX8p8LYkDwBuAl5ML3E7P8lpwM3A84bchiRJUucMlWRV1VXAbJ9Fxw6zXkmahCRvAZ4F3F5VT2jmHQScB2wAtgPPr6o7k4ReNzbHA98CTq2qT00ibknTyR7fJeke5wDHLZm3XN9/zwQ2Nq/NwJvHFKOkjjDJkqRGVX0EuGPJ7OX6/jsReGv1XAYc2DzsI0nA8PdkSdJad6++/5Ls7vvvMOCWReV2NPN2Ll3B4i5rDjnkkE52qzFIdyDT1hXKpLpnGXb/drHrlS7GDO3HbZIlSauTPvOqX8HFXdYcddRRE++yZsMqupbZsuluzvroN1coNV3/UibVPUu/7lT2Rhe7XulizNB+3F4ulKQ9u233ZcAlff/tAI5YVO5w4NYxxyZpiplkSdKeLdf330XAL6XnGOBruy8rShJM27ldSZqgJO8A5oCDk+wAXg2cSf++/95Pr/uGbfS6cHjx2AOWNNVMsiSpUVUvWGbRffr+q6oCTm83Ikld5uVCSZKkFphkSZIktcAkS5IkqQUmWZIkSS0wyZIkSWqBSZYkSVILTLIkSZJaYJIlSZLUApMsSZKkFgydZCXZJ8mnk7y3mT4yyeVJPpfkvCQPGD5MSZKkbhnFmayXATcsmn4d8Iaq2gjcCZw2gm1IkiR1ylBJVpLDgROAv2qmA/w0cEFT5FzgOcNsQ5IkqYuGPZP1J8BvA99rph8O3FVVC830DuCwIbchSZLUOfuu9oNJngXcXlVXJpnbPbtP0Vrm85uBzQAzMzPMz8+vNpSpsWvXrvvUY8umhf6FO2Zm/7VTl6XWSt36/Q31OyYlSeOx6iQLeBrw7CTHA/sBD6V3ZuvAJPs2Z7MOB27t9+Gq2gpsBZidna25ubkhQpkO8/PzLK3HqWe8bzLBjNiWTQucdc0wh8v0Wit1237y3H3m9TsmJUnjserLhVX1yqo6vKo2ACcB/1hVJwOXAs9tip0CXDh0lJIkSR3TRj9ZrwBenmQbvXu0zm5hG5IkSVNtJNdIqmoemG/e3wQ8dRTrlSRJ6qru34gyIhtGcO/Ulk0La+YeLEmSNByH1ZEkSWqBSZYkSVILvFwoSdIIDXv7yXK3nmw/84Sh1qvx80yWJElSC0yyJEmSWmCSJUmS1AKTLEmSpBZ447skDSDJduAbwN3AQlXNJjkIOA/YAGwHnl9Vd04qRknTxTNZkjS4p1fVk6pqtpk+A7ikqjYClzTTkgSYZEnSME4Ezm3enws8Z4KxSJoyXi6UpMEU8A9JCvhfVbUVmKmqnQBVtTPJI/p9MMlmYDPAIYccwvz8/JhC7m/LpoW9/szM/qv73CR1MWZYPu5JHzd7smvXrqmObzltx22SJUmDeVpV3dokUhcn+cygH2wSsq0ARx11VM3NzbUU4mBWM8bqlk0LnHVNt/5ldDFmWD7u7SfPjT+YAc3PzzPp43o12o7by4WSNICqurX5eTvwHuCpwG1JDgVoft4+uQglTRuTLElaQZIDkjxk93vgZ4FrgYuAU5pipwAXTiZCSdOoe+dRJWn8ZoD3JIFeu/n2qvpgkk8C5yc5DbgZeN4EY5Q0ZUyypDWi36C0yw00uzcclBaq6ibgiX3mfxU4dvwRSeqCVV8uTHJEkkuT3JDkuiQva+YflOTiJJ9rfj5sdOFKkiR1wzD3ZC0AW6rqccAxwOlJjsbO+SRJklafZFXVzqr6VPP+G8ANwGHYOZ8kSdJoni5MsgF4MnA5SzrnA/p2zidJkrSWDX3je5IHA38L/GZVfb15+maQz32/B+SZmZmJ9xQ7il6Bu9q78CCsWzeNom6T/tuUpK4aKslKcn96CdbbqurdzezbkhzaDDGxbOd8i3tAnp2d7WQPyEt1tXfhQVi3bhpF3aa5l2lpPen3BPEo+ARxe4Z5ujDA2cANVfX6RYvsnE+SJK17w3zFfRrwIuCaJFc1814FnImd80mSpHVu1UlWVX0UWO4GLDvnkyRJ65pjF0qSJLXAJEuSJKkFa/ORKklaA9p6mkzSeHgmS5IkqQUmWZIkSS0wyZIkSWqBSZYkSVILTLIkSZJaYJIlSZLUApMsSZKkFphkSZIktcDOSCVJWsdG0entlk0LnLpkPdvPPGHo9XZd55Ise0CWJEld4OVCSZKkFphkSZIktcAkS5IkqQUmWZIkSS1o7cb3JMcBbwT2Af6qqs5sa1uSNCm2dVJ/bT2o1qWnFls5k5VkH+BNwDOBo4EXJDm6jW1J0qTY1knak7YuFz4V2FZVN1XVvwLvBE5saVuSNCm2dZKW1dblwsOAWxZN7wB+vKVtSdKk2NZJYzbKy5CLO1Ft4zJkqmr0K02eB/xcVf1KM/0i4KlV9dJFZTYDm5vJo4AbRx7I+B0MfGXSQbTEunXTuOv26Ko6ZIzbm6hB2rpm/uL27gnAtWMNdDS6+HfSxZihm3F3MWZYfdwDtXVtncnaARyxaPpw4NbFBapqK7C1pe1PRJIrqmp20nG0wbp101qu25RYsa2De7d3Xd0nXYy7izFDN+PuYszQftxt3ZP1SWBjkiOTPAA4CbiopW1J0qTY1klaVitnsqpqIclLgL+n91jzW6rquja2JUmTYlsnaU9a6yerqt4PvL+t9U+pNXX5cwnr1k1ruW5TYRVtXVf3SRfj7mLM0M24uxgztBx3Kze+S5IkrXcOqyNJktQCk6xVSHJckhuTbEtyRp/lL09yfZKrk1yS5NGTiHM1VqrbonLPTVJJOvM0ySB1S/L8Zt9dl+Tt445xtQY4Jh+V5NIkn26Oy+MnEed6MsA+eWCS85rllyfZMP4o72uAuH8yyaeSLCR57iRiXKqrbfIAcf9akmuSXJXko9MwmkAX/0cM8Hs+NcmXm9/zVUl+ZWQbrypfe/Gid3Pr54HHAA8A/hk4ekmZpwMPat7/OnDepOMeVd2acg8BPgJcBsxOOu4R7reNwKeBhzXTj5h03COs21bg15v3RwPbJx33Wn4NuE/+M/AXzfuTpqGdGDDuDcCPAG8FntuRmKeuTR4w7ocuev9s4IPTHnNTbmr+Rwz4ez4V+LM2tu+ZrL234jAaVXVpVX2rmbyMXt85XTDoECG/D/wh8O1xBjekQer2q8CbqupOgKq6fcwxrtYgdSvgoc37H6BPX04aqUH2yYnAuc37C4Bjk2SMMfYzSPu2vaquBr43iQD76GqbPEjcX180eQC9v+NJ6uL/iIkOfWWStff6DaNx2B7KnwZ8oNWIRmfFuiV5MnBEVb13nIGNwCD77bHAY5N8LMllSY4bW3TDGaRurwFemGQHvSfhXoraNMg++X6ZqloAvgY8fCzRLW9v27dp0NU2eaC4k5ye5PP0kpbfGFNsy+ni/4hBj4//0FxOviDJEX2Wr4pJ1t7r902z77eLJC8EZoE/ajWi0dlj3ZLcD3gDsGVsEY3OIPttX3qXDOeAFwB/leTAluMahUHq9gLgnKo6HDge+Jtmf6odg+yTgduSMZrGmFbS1TZ5oLir6k1V9W+AVwC/23pUe9bF/xGD/J7/DthQVT8CfIh7zjAPzUZ27w00jEaSZwC/Azy7qr4zptiGtVLdHkJv3LX5JNuBY4CLpuHGxgEMst92ABdW1Xer6gv0xtPcOKb4hjFI3U4Dzgeoqo8D+9Ebs0vtGPR4OwIgyb70LuPeMZboljdQ+zZlutom7+3v+p3Ac1qNaGVd/B8xyDB/X110TPwl8KMj2/okb0jr4ove2Y6bgCO55ya6xy8p82R6N9ptnHS8o67bkvLzdOfG90H223HAuc37g+mdYn74pGMfUd0+AJzavH8cvUYmk459rb4G3Cenc+8b38/vQtyLyp7DdNz43sk2ecC4Ny56//PAFdMe85LyE/8fMeDv+dBF738BuGxk25/0gdbFF73LLZ9t/mh/p5n3e/S+IUHvdONtwFXN66JJxzyqui0pO/E/oBHvtwCvB64HrgFOmnTMI6zb0cDHmgbmKuBnJx3zWn8NsE/2A94FbAM+ATxm0jEPGPeP0Ts78E3gq8B1HYh5KtvkAeJ+I3BdE/Ole0popiXmJWWn4n/EAL/nP2h+z//c/J5/eFTbtsd3SZKkFnhPliRJUgtMsiRJklpgkiVJktQCkyxJkqQWmGRJkiS1wCRLkiSpBSZZkiRJLTDJkiRJasH/BdZffU+iR+w9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_features = ['temp','atemp','hum','windspeed']\n",
    "df[numerical_features].hist(figsize=(10,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征与目标之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 离散特征与目标之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 一年中每天的骑行量\n",
    "用折线图观察一年中每天的骑行量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb368f5240>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将日期转换成Timestamp格式\n",
    "df['date'] = pd.to_datetime(df['dteday'])\n",
    "# 再将日期转换成一年中的第几天\n",
    "df['dayofyear'] = df['date'].dt.dayofyear\n",
    "plt.figure(figsize=(16,8))\n",
    "sb.pointplot(data=df[['dayofyear','yr','cnt']], x='dayofyear', y='cnt', hue='yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 不同季节下骑行量的分布\n",
    "用提琴图观察不同季节下骑行量的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb3a6eb470>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.violinplot(data=df[['season','cnt']], x='season', y='cnt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 不同年份骑行量的分布\n",
    "用提琴图观察不同年份骑行量的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb3afbe470>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.violinplot(data=df[['yr','cnt']], x='yr', y='cnt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 各个月份的骑行量\n",
    "用柱状图观察各个月份的平均骑行量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb3b11d470>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.barplot(data=df[['mnth','cnt']], x='mnth', y='cnt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 节假日、工作日和骑行量的关系\n",
    "用柱状图观察节假日、工作日和骑行量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2)\n",
    "sb.barplot(data=df[['holiday','cnt']], x='holiday', y='cnt', ax=axes[0])\n",
    "sb.barplot(data=df[['workingday','cnt']], x='workingday', y='cnt', ax=axes[1])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 一周中每天骑行量的分布\n",
    "用柱状图观察一周中每天骑行量的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb3ab54ef0>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEGCAYAAACUzrmNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAUZ0lEQVR4nO3df7DddX3n8eeLBIoiGCARmYTdsDV1xf4QzADdrBbBRrRaGAd2oCqRZSezO9il03ZTbDtL/cFMtaN0tFtnGUg3qBUo6pJ1mNIURPwFkiCCEJEsKokQEhpA/C3w3j/OJ+xJuDffe8M95+Rwn4+ZzPf7fX8/53Pelwl53e+P8z2pKiRJ2pP9Rt2AJGnfZ1hIkjoZFpKkToaFJKmTYSFJ6jR31A0Mwvz582vx4sWjbkOSxsqGDRseqaoFE+17XobF4sWLWb9+/ajbkKSxkuR7k+3zNJQkqZNhIUnqZFhIkjoZFpKkToaFJKmTYSFJ6mRYSJI6GRaSpE4DDYsk301yV5I7kqxvtcOSrEtyX1se2upJ8pEkm5LcmeS4vnlWtPH3JVkxyJ4lPT+tWrWKc845h1WrVo26lbE0jCOL11XVq6pqadu+ELihqpYAN7RtgDcCS9qflcDHoBcuwEXACcDxwEU7A0aSpmrr1q18//vfZ+vWraNuZSyN4nEfpwEntfU1wE3An7T6FdX76r5bksxLcmQbu66qdgAkWQecCnxquG1LWrVqFVu3buWlL30pH/zgB0fdjoZo0EcWBfxTkg1JVrbaEVX1EEBbvqTVFwKb+167pdUmq+8iycok65Os3759+wz/GJLA385ns0EfWSyrqgeTvARYl+RbexibCWq1h/quhapLgUsBli5d6heLa5/kb+baW6P+uzPQsKiqB9tyW5LP0rvm8HCSI6vqoXaaaVsbvgU4qu/li4AHW/2k3eo3DbJvaVB2/mYuTdeo/+4M7DRUkoOSHLxzHVgOfBNYC+y8o2kFcG1bXwuc0+6KOhF4vJ2muh5YnuTQdmF7eatJkoZkkEcWRwCfTbLzff6+qv4xyW3A1UnOAx4AzmzjrwPeBGwCfgycC1BVO5K8D7itjXvvzovdmn1GfSguzVYDC4uquh/4jQnq/wKcMkG9gPMnmWs1sHqme9T4GfWhuDRb+QluSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktRpFA8S1Aj5OQVJe8OwmGX8nILGzcVvP2NG5tmx7fHecutDMzbnn33imhmZZxwYFtLz3N/80f+Zsbkee+RHzyxnYt53fegtz3kODYfXLCRJnTyymCbP+UuajQyLafKcv6TZyLCQpuALr/2tGZnnJ3PnQMJPtmyZkTl/6+YvzEBXGqSNF984I/P8fMdPnlnOxJyv+LOTpzXeaxaSpE4eWWgoln102YzMc8BjB7Af+7H5sc0zMueXf//LM9CV9PznkYUkqZNhIUnqZFhIkjoZFpKkToaFJKmTYSFJ6uSts2Pigff+2ozM8+SOw4C5PLnjezMy57/673c996Yk7fM8spAkdfLIQtKscOCc/XZZanoMC0mzwrGHHzzqFsaaYSFpyg464JBdlpo9Zk1YvPq/XTEj8xz8yBPMAR545IkZmXPDX53z3JuShmTZL7911C1oRDx5J0nqZFhIkjrNmtNQen6oFxZP8zT1whp1K3tlXtUuS2lcGBYaK79Y9otRt/CcvP2pp0fdgsbU4Qe+eJflsBkWkjQG3nXs7430/Qd+zSLJnCRfT/K5tn10kluT3JfkqiQHtPovte1Nbf/ivjne3er3JnnDoHuWJO1qGBe4LwA29m1/ALikqpYAjwLntfp5wKNV9TLgkjaOJMcAZwGvBE4F/jbJnCH0LUlqBhoWSRYBvwNc1rYDnAxc04asAU5v66e1bdr+U9r404Arq+pnVfUdYBNw/CD7liTtatBHFn8NrAJ2XtU7HHisqp5s21uAhW19IbAZoO1/vI1/pj7Ba56RZGWS9UnWb9++faZ/Dkma1QYWFkneDGyrqg395QmGVse+Pb3m/xeqLq2qpVW1dMGCBdPud7aYf+DTHPGCJ5l/oHflSJq6Qd4NtQz43SRvAg4EDqF3pDEvydx29LAIeLCN3wIcBWxJMhd4MbCjr75T/2s0TX/864+NugVJY2hgRxZV9e6qWlRVi+ldoL6xqt4GfB44ow1bAVzb1te2bdr+G6uqWv2sdrfU0cAS4GuD6luS9Gyj+JzFnwBXJnk/8HXg8la/HPh4kk30jijOAqiqu5NcDdwDPAmcX1VPDb9tSZq9hhIWVXUTcFNbv58J7maqqp8CZ07y+ouBiwfXoSRpT/wE9zQ9fcBBuywlaTYwLKbpR0uWj7oFSRo6H1EuSepkWEiSOhkWkqROhoUkqZNhIUnqZFhIkjoZFpKkToaFJKmTYSFJ6mRYSJI6GRaSpE6GhSSpk2EhSepkWEiSOhkWkqROhoUkqZNhIUnqZFhIkjoZFpKkToaFJKmTYSFJ6mRYSJI6GRaSpE6GhSSpk2EhSepkWEiSOhkWkqROhoUkqZNhIUnqZFhIkjoNLCySHJjka0m+keTuJO9p9aOT3JrkviRXJTmg1X+pbW9q+xf3zfXuVr83yRsG1bMkaWKDPLL4GXByVf0G8Crg1CQnAh8ALqmqJcCjwHlt/HnAo1X1MuCSNo4kxwBnAa8ETgX+NsmcAfYtSdrNwMKien7YNvdvfwo4Gbim1dcAp7f109o2bf8pSdLqV1bVz6rqO8Am4PhB9S1JeraBXrNIMifJHcA2YB3wf4HHqurJNmQLsLCtLwQ2A7T9jwOH99cneE3/e61Msj7J+u3btw/ix5GkWWugYVFVT1XVq4BF9I4GXjHRsLbMJPsmq+/+XpdW1dKqWrpgwYK9bVmSNIGh3A1VVY8BNwEnAvOSzG27FgEPtvUtwFEAbf+LgR399QleI0kagkHeDbUgyby2/gLg9cBG4PPAGW3YCuDatr62bdP231hV1epntbuljgaWAF8bVN+SpGeb2z1krx0JrGl3Lu0HXF1Vn0tyD3BlkvcDXwcub+MvBz6eZBO9I4qzAKrq7iRXA/cATwLnV9VTA+xbkrSbgYVFVd0JHDtB/X4muJupqn4KnDnJXBcDF890j5KkqfET3JKkToaFJKmTYSFJ6jSlsEhywVRqkqTnp6keWayYoPbOGexDkrQP2+PdUEnOBn4PODrJ2r5dBwP/MsjGJEn7jq5bZ78CPATMBz7UV38CuHNQTUmS9i17DIuq+h7wPeA3h9OOJGlfNNUL3G9tX1b0eJIfJHkiyQ8G3Zwkad8w1U9wfxB4S1VtHGQzkqR901TvhnrYoJCk2WuqRxbrk1wF/G96X5cKQFV9ZiBdSZL2KVMNi0OAHwPL+2oFGBaSNAtMNSz2Ay5oX2JEkkPZ9VZaSdLz2FSvWfz6zqAAqKpHmeDx45Kk56ephsV+7WgCgCSHMdgvTpIk7UOm+g/+h4CvJLmG3rWK/4BfRiRJs8aUwqKqrkiyHjgZCPDWqrpnoJ1JkvYZUz6V1MLBgJCkWcgvP5IkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdRpYWCQ5Ksnnk2xMcneSC1r9sCTrktzXloe2epJ8JMmmJHcmOa5vrhVt/H1JVgyqZ0nSxAZ5ZPEk8EdV9QrgROD8JMcAFwI3VNUS4Ia2DfBGYEn7sxL4GDzzrXwXAScAxwMX9X9rnyRp8AYWFlX1UFXd3tafADYCC4HTgDVt2Brg9LZ+GnBF9dwCzEtyJPAGYF1V7Wjf/b0OOHVQfUuSnm0o1yySLAaOBW4Fjqiqh6AXKMBL2rCFwOa+l21ptcnqu7/HyiTrk6zfvn37TP8IkjSrDTwskrwI+DTwB1X1gz0NnaBWe6jvWqi6tKqWVtXSBQsW7F2zkqQJDTQskuxPLyg+WVWfaeWH2+kl2nJbq28Bjup7+SLgwT3UJUlDMsi7oQJcDmysqg/37VoL7LyjaQVwbV/9nHZX1InA4+001fXA8iSHtgvby1tNkjQkcwc49zLgHcBdSe5otT8F/hK4Osl5wAPAmW3fdcCbgE3Aj4FzAapqR5L3Abe1ce+tqh0D7FuStJuBhUVVfYmJrzcAnDLB+ALOn2Su1cDqmetOkjQdfoJbktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVKngYVFktVJtiX5Zl/tsCTrktzXloe2epJ8JMmmJHcmOa7vNSva+PuSrBhUv5KkyQ3yyOJ/AafuVrsQuKGqlgA3tG2ANwJL2p+VwMegFy7ARcAJwPHARTsDRpI0PAMLi6q6GdixW/k0YE1bXwOc3le/onpuAeYlORJ4A7CuqnZU1aPAOp4dQJKkARv2NYsjquohgLZ8SasvBDb3jdvSapPVnyXJyiTrk6zfvn37jDcuSbPZvnKBOxPUag/1ZxerLq2qpVW1dMGCBTPanCTNdsMOi4fb6SXaclurbwGO6hu3CHhwD3VJ0hANOyzWAjvvaFoBXNtXP6fdFXUi8Hg7TXU9sDzJoe3C9vJWkyQN0dxBTZzkU8BJwPwkW+jd1fSXwNVJzgMeAM5sw68D3gRsAn4MnAtQVTuSvA+4rY17b1XtftFckjRgAwuLqjp7kl2nTDC2gPMnmWc1sHoGW5MkTdO+coFbkrQPMywkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUaWzCIsmpSe5NsinJhaPuR5Jmk7EIiyRzgP8BvBE4Bjg7yTGj7UqSZo+xCAvgeGBTVd1fVT8HrgROG3FPkjRrpKpG3UOnJGcAp1bVf2rb7wBOqKp39Y1ZCaxsmy8H7h1gS/OBRwY4/6DZ/2jZ/+iMc+8w+P7/dVUtmGjH3AG+6UzKBLVdUq6qLgUuHUozyfqqWjqM9xoE+x8t+x+dce4dRtv/uJyG2gIc1be9CHhwRL1I0qwzLmFxG7AkydFJDgDOAtaOuCdJmjXG4jRUVT2Z5F3A9cAcYHVV3T3CloZyumuA7H+07H90xrl3GGH/Y3GBW5I0WuNyGkqSNEKGhSSpk2ExTeP82JEkq5NsS/LNUfcyXUmOSvL5JBuT3J3kglH3NB1JDkzytSTfaP2/Z9Q97Y0kc5J8PcnnRt3LdCX5bpK7ktyRZP2o+5muJPOSXJPkW+3/g98c6vt7zWLq2mNHvg38Nr3beW8Dzq6qe0ba2BQleS3wQ+CKqvrVUfczHUmOBI6sqtuTHAxsAE4fo//2AQ6qqh8m2R/4EnBBVd0y4tamJckfAkuBQ6rqzaPuZzqSfBdYWlVj+aG8JGuAL1bVZe2u0BdW1WPDen+PLKZnrB87UlU3AztG3cfeqKqHqur2tv4EsBFYONqupq56ftg2929/xuo3tSSLgN8BLht1L7NNkkOA1wKXA1TVz4cZFGBYTNdCYHPf9hbG6B+s54ski4FjgVtH28n0tFM4dwDbgHVVNVb9A38NrAKeHnUje6mAf0qyoT0eaJz8G2A78HftNOBlSQ4aZgOGxfR0PnZEg5XkRcCngT+oqh+Mup/pqKqnqupV9J5AcHySsTkVmOTNwLaq2jDqXp6DZVV1HL2nV5/fTsuOi7nAccDHqupY4EfAUK+ZGhbT42NHRqid6/808Mmq+syo+9lb7fTBTcCpI25lOpYBv9vO+18JnJzkE6NtaXqq6sG23AZ8lt5p5XGxBdjSdzR6Db3wGBrDYnp87MiItAvElwMbq+rDo+5nupIsSDKvrb8AeD3wrdF2NXVV9e6qWlRVi+n9vb+xqt4+4ramLMlB7cYI2umb5cDY3BVYVVuBzUle3kqnAEO9uWMsHvexr9gHHzsyLUk+BZwEzE+yBbioqi4fbVdTtgx4B3BXO+8P8KdVdd0Ie5qOI4E17Y66/YCrq2rsbj8dY0cAn+39zsFc4O+r6h9H29K0/T7wyfaL6v3AucN8c2+dlSR18jSUJKmTYSFJ6mRYSJI6GRaSpE6GhSSpk2EhDUmSm5Is7RjzziR/M6yepKkyLCRJnQwLaRJJViX5r239kiQ3tvVTknwiyfIkX01ye5J/aM+tIsmrk3yhPbDu+vZ49f5590uyJsn72/a5Sb6d5Av0Pny4c9xbktzaHhz3z0mOaK+9L8mCvrk2JZk/pP8smqUMC2lyNwOvaetLgRe151P9e+Au4M+B17eH060H/rDt/yhwRlW9GlgNXNw351zgk8C3q+rPW5C8h15I/DZwTN/YLwEntgfHXQmsqqqngU8Ab2tjXg98Y1y/o0Hjw8d9SJPbALy6PVPoZ8Dt9ELjNfSeCXYM8OX2CIkDgK8CLwd+FVjX6nOAh/rm/J/0HvWxM0BOAG6qqu0ASa4CfqXtWwRc1QLlAOA7rb4auJbeI8P/I/B3M/pTSxMwLKRJVNUv2lNWzwW+AtwJvA74ZXr/cK+rqrP7X5Pk14C7q2qyr7z8CvC6JB+qqp/ufKtJxn4U+HBVrU1yEvAXra/NSR5OcjK9sHnbJK+XZoynoaQ9uxn447b8IvCfgTuAW4BlSV4GkOSFSX4FuBdYsPP7kZPsn+SVffNdDlwH/EOSufS+wOmkJIe3U1hn9o19MfD9tr5it74uo3c66uqqemrGflppEoaFtGdfpPfE2K9W1cPAT+l9D/J24J3Ap5LcSS88/m37ut0zgA8k+Qa9YPl3/RO2R6zfDnwceJjeEcNXgX9u9Z3+gl6ofBHY/ZrEWuBFeApKQ+JTZ6Ux1D6vcUlVvaZzsDQDvGYhjZkkFwL/Ba9VaIg8spAkdfKahSSpk2EhSepkWEiSOhkWkqROhoUkqdP/Azuo2FUqftAkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.barplot(data=df[['weekday','cnt']], x='weekday', y='cnt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 天气和骑行量的关系\n",
    "用柱状图观察天气和骑行量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb3c1b02e8>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.barplot(data=df[['weathersit','cnt']], x='weathersit', y='cnt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从图中看出，晴天骑行量最多，雾天或阴天次之，小雨或小雪最少，没有大雨或大雪的记录"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数值型特征与目标之间的关系\n",
    "用热力图观察数值型特征以及目标之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cb3c627908>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算气温、体感温度、湿度、风速和骑行量的相关性\n",
    "corr = df[['temp','atemp','hum','windspeed','cnt']].corr()\n",
    "# 画出热力图\n",
    "sb.heatmap(data=corr, annot=True, square=True)"
   ]
  }
 ],
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